With flipbookr and xaringan
2023-08-11
speed dist
1 4 2
2 4 10
3 7 4
4 7 22
5 8 16
6 9 10
7 10 18
8 10 26
9 10 34
10 11 17
11 11 28
12 12 14
13 12 20
14 12 24
15 12 28
16 13 26
17 13 34
18 13 34
19 13 46
20 14 26
21 14 36
22 14 60
23 14 80
24 15 20
25 15 26
26 15 54
27 16 32
28 16 40
29 17 32
30 17 40
31 17 50
32 18 42
33 18 56
34 18 76
35 18 84
36 19 36
37 19 46
38 19 68
39 20 32
40 20 48
41 20 52
42 20 56
43 20 64
44 22 66
45 23 54
46 24 70
47 24 92
48 24 93
49 24 120
50 25 85
# A tibble: 2,867 × 32
year id ballot age childs sibs degree race sex region income16
<dbl> <dbl> <labelled> <dbl> <dbl> <labe> <fct> <fct> <fct> <fct> <fct>
1 2016 1 1 47 3 2 Bache… White Male New E… $170000…
2 2016 2 2 61 0 3 High … White Male New E… $50000 …
3 2016 3 3 72 2 3 Bache… White Male New E… $75000 …
4 2016 4 1 43 4 3 High … White Fema… New E… $170000…
5 2016 5 3 55 2 2 Gradu… White Fema… New E… $170000…
6 2016 6 2 53 2 2 Junio… White Fema… New E… $60000 …
7 2016 7 1 50 2 2 High … White Male New E… $170000…
8 2016 8 3 23 3 6 High … Other Fema… Middl… $30000 …
9 2016 9 1 45 3 5 High … Black Male Middl… $60000 …
10 2016 10 3 71 4 1 Junio… White Male Middl… $60000 …
# ℹ 2,857 more rows
# ℹ 21 more variables: relig <fct>, marital <fct>, padeg <fct>, madeg <fct>,
# partyid <fct>, polviews <fct>, happy <fct>, partners <fct>, grass <fct>,
# zodiac <fct>, pres12 <labelled>, wtssall <dbl>, income_rc <fct>,
# agegrp <fct>, ageq <fct>, siblings <fct>, kids <fct>, religion <fct>,
# bigregion <fct>, partners_rc <fct>, obama <dbl>
# A tibble: 2,867 × 32
# Groups: bigregion, religion [24]
year id ballot age childs sibs degree race sex region income16
<dbl> <dbl> <labelled> <dbl> <dbl> <labe> <fct> <fct> <fct> <fct> <fct>
1 2016 1 1 47 3 2 Bache… White Male New E… $170000…
2 2016 2 2 61 0 3 High … White Male New E… $50000 …
3 2016 3 3 72 2 3 Bache… White Male New E… $75000 …
4 2016 4 1 43 4 3 High … White Fema… New E… $170000…
5 2016 5 3 55 2 2 Gradu… White Fema… New E… $170000…
6 2016 6 2 53 2 2 Junio… White Fema… New E… $60000 …
7 2016 7 1 50 2 2 High … White Male New E… $170000…
8 2016 8 3 23 3 6 High … Other Fema… Middl… $30000 …
9 2016 9 1 45 3 5 High … Black Male Middl… $60000 …
10 2016 10 3 71 4 1 Junio… White Male Middl… $60000 …
# ℹ 2,857 more rows
# ℹ 21 more variables: relig <fct>, marital <fct>, padeg <fct>, madeg <fct>,
# partyid <fct>, polviews <fct>, happy <fct>, partners <fct>, grass <fct>,
# zodiac <fct>, pres12 <labelled>, wtssall <dbl>, income_rc <fct>,
# agegrp <fct>, ageq <fct>, siblings <fct>, kids <fct>, religion <fct>,
# bigregion <fct>, partners_rc <fct>, obama <dbl>
# A tibble: 24 × 3
# Groups: bigregion [4]
bigregion religion n
<fct> <fct> <int>
1 Northeast Protestant 158
2 Northeast Catholic 162
3 Northeast Jewish 27
4 Northeast None 112
5 Northeast Other 28
6 Northeast <NA> 1
7 Midwest Protestant 325
8 Midwest Catholic 172
9 Midwest Jewish 3
10 Midwest None 157
# ℹ 14 more rows
# A tibble: 24 × 4
# Groups: bigregion [4]
bigregion religion n pct
<fct> <fct> <int> <dbl>
1 Northeast Protestant 158 32.4
2 Northeast Catholic 162 33.2
3 Northeast Jewish 27 5.5
4 Northeast None 112 23
5 Northeast Other 28 5.7
6 Northeast <NA> 1 0.2
7 Midwest Protestant 325 46.8
8 Midwest Catholic 172 24.7
9 Midwest Jewish 3 0.4
10 Midwest None 157 22.6
# ℹ 14 more rows
# A tibble: 20 × 4
# Groups: bigregion [4]
bigregion religion n pct
<fct> <fct> <int> <dbl>
1 Northeast Protestant 158 32.4
2 Northeast Catholic 162 33.2
3 Northeast Jewish 27 5.5
4 Northeast None 112 23
5 Northeast Other 28 5.7
6 Midwest Protestant 325 46.8
7 Midwest Catholic 172 24.7
8 Midwest Jewish 3 0.4
9 Midwest None 157 22.6
10 Midwest Other 33 4.7
11 South Protestant 650 61.8
12 South Catholic 160 15.2
13 South Jewish 11 1
14 South None 170 16.2
15 South Other 50 4.8
16 West Protestant 238 37.7
17 West Catholic 155 24.5
18 West Jewish 10 1.6
19 West None 180 28.5
20 West Other 48 7.6